Journal of Global Optimization
Behavior of recursion model - more studies
ACM SIGMAP Bulletin
Recursion model behavior: more studies
ACM SIGMAP Bulletin
ACM SIGMAP Bulletin
Global optimization of robust chance constrained problems
Journal of Global Optimization
Modular global optimisation in chemical engineering
Journal of Global Optimization
A new Lagrangean approach to the pooling problem
Journal of Global Optimization
Global solution of optimization problems with signomial parts
Discrete Optimization
Relaxations of multilinear convex envelopes: dual is better than primal
SEA'12 Proceedings of the 11th international conference on Experimental Algorithms
GloMIQO: Global mixed-integer quadratic optimizer
Journal of Global Optimization
Global optimization of bilinear programs with a multiparametric disaggregation technique
Journal of Global Optimization
Journal of Global Optimization
Hi-index | 0.01 |
A study of the behavior of LP models is a badly neglected area. By model behavior I mean the way the answers of an LP model vary as the input data is varied. In some cases, we find the model behaves much like the system being modeled. But in other cases it has quite different properties. Some of the erratic behavior can be compensated for by better formulation. Some must be taken into account by the LP analyst.